Monitoring wheat powdery mildew using Burkard volumetric spore sampler and unmanned aerial photography
Yilin Zhou: Institute of Plant Protection, CAAS
<div>Wheat powdery mildew caused by <em>Blumeria graminis</em> f. sp. <em>tritici </em>(<em>Bgt</em>)<em> </em>is one of the most important wheat diseases in China. Burkard volumetric spore samplers (2012-2015) and unmanned aerial vehicles (UAV) (2010-2014) were used to monitor wheat powdery mildew. The results of monitoring conidia of <em>Bgt </em>in the air of wheat fields with a Burkard volumetric spore sampler demonstrated that the conidia concentration of <em>Bgt</em> within the canopy was positively correlated with that above the canopy and was significantly higher than that above canopy. Time series analysis showed that conidia concentration was fitted with simple ARIMA (1, 1, 0) models, and models for prediction of disease severity were constructed with inoculum only, and with both inoculum and weather variables, respectively. A model with inoculum only has more universal applicability to predicting disease severity in comparison with the model based on both inoculum and weather variables. The results of high-resolution aerial imaging with UAV showed that parameter lgR was consistently correlated positively with mildew severity and wheat grain yield for all combinations of flight altitude and year. Fitting the data with random coefficient regression models showed, however, that the exact relationship of lgR with disease severity and grain yield varied greatly with year, and to a lesser extent with flight altitude within the same year. The present results raised an important question of the consistency of using remote imaging information to estimate disease severity and grain yield. Further research is needed to understand the nature of the variability in the relationship of remote imaging information with disease and grain yield among years.</div>
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